Comments (2)
As shown in the readme, by default the 44KHz singing voice separation model is loaded, so its okay to not put a model_path
parameter. But in your case you have to put the path to the model checkpoint file. So it would be
python Predict.py with cfg.full_multi_instrument model_path="checkpoints/full_multi_instrument/full_multi_instrument-134067
Does that make sense/resolve your problem?
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thank you, it solves the problem, missed that part of readme 0v0
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Related Issues (20)
- Further optimization of the model with the help of "Neural Structured Learning"? HOT 1
- ERROR:Key separator/interp_0 not found in checkpoint HOT 4
- How to enable multi-GPU HOT 1
- how to make the code running on the specific gpu?such as gpu1 rather than default gpu0 HOT 1
- there are some issues in "Evaluate.produce_musdb_source_estimates" function
- Inquiry on SDR mean and median on MUSDB/test HOT 4
- Pre-trained models HOT 1
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- (Question) GUI version? HOT 1
- How much is the GPU usage?
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- TypeError: load() missing 1 required positional argument: 'Loader' HOT 1
- ModuleNotFoundError: No module named 'tensorflow.contrib' HOT 1
- Wave-U-Net: TypeError: guvectorize() missing 1 required positional argument: 'signature' ? HOT 1
- KeyError: 'brand' HOT 2
- 我想用其它数据集都需要更改哪些参数啊? HOT 1
- can you elaborate on how can i use pre trained model, i didn't understand where should i run the commands you gave in read me
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